Lead AI/ML Engineer

EXL Analytics is looking for a Lead AI/ML Engineer to join the team. EXL (NASDAQ:EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutions and execute complex operations for the world’s leading... corporations. EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries. Please visit www.exlservice.com for more information about EXL Analytics. Job Description: • 6+ years of experience in analytics domains, and deep understanding of ML operationalization and lifecycle management. • 5+ years of deploying and monitoring analytical assets in batch/real-time business processes. • 5+ years of SQL & Python programming experience leveraging strong software development principles. • Experience in designing and developing AI applications and systems. • Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Pub/Sub, Kafka, Spark Streaming etc.) • Experience with REST API/Microservice development using Python/Java. • Experience with deployment/scaling of apps on containerized environment (AKS and/or GKE) • Experience with Snowflake/Big Query, Google Dataproc/Databricks or any big data frameworks on Spark • Experience with RDBMS and NoSQL Databases and hands-on query tuning/optimization. Responsibilities: As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools. Key responsibilities include: • Support the deployment of ML/AI pipelines on the platform. • Enable functionality to support analysis, model optimization, statistical testing, model versioning, deployment and monitoring of model and data. • Ability to translate functionality into scalable, tested, and configurable platform architecture and software. • Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform. • Deliver features aligned to enterprise AutoML, Feature Engineering, and MLOPS capability. • Innovative thinking and great communication skills. • Strong ownership of deliverables, with design decisions aligned to scale and industry best practices. • Provide technical leadership and mentorship to a team of machine learning engineers. Collaborate with cross-functional teams to align ML initiatives with overall business goals. • Design, implement, and optimize machine learning algorithms and models. Stay abreast of the latest advancements in ML research and apply them to solve complex business problems. • Architect and implement scalable and efficient machine learning systems. Collaborate with software engineers to integrate ML models into production systems. • Work closely with data engineers to ensure the availability and quality of data for training and evaluation of machine learning models. • Develop strategies for deploying machine learning models at scale. Ensure models are integrated into production systems with high reliability and performance. • Design and conduct experiments to evaluate the performance of machine learning models. Iterate on models based on feedback and evolving business requirements. Qualifications: Preferred Qualifications: • Hands on experience in building solutions using cloud native services (Azure, GCP preferred) • Understanding of DevOps, Infrastructure as Code, automation for self service Education: • Required: bachelor’s degree in computer science, Engineering, Statistics, Physics, Math, or related field or equivalent experience • Preferred: master’s degree or PhD with coursework focused on advanced algorithms, mathematics in computing, data structures, etc. What we offer: EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants. You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth. Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques. We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors. Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond. · EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants. · You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth · Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques. · We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors. · Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond. EEO/Minorities/Females/Vets/Disabilities Please be aware that EXL requires all employees to be vaccinated for COVID-19. This position will require the successful candidate to obtain and show proof of a vaccination. EXL is an equal opportunity employer, and will provide reasonable accommodation to those individuals who are unable to be vaccinated consistent with federal, state, and local law. Base Salary Range Disclaimer: The base salary range represents the low and high end of the EXL salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience. The base salary range listed is just one component of EXL's total compensation package for employees. Other rewards may include bonuses, a Paid Time Off policy, and many region-specific benefits